4.8 Article

Global metaanalysis of the nonlinear response of soil nitrous oxide (N2O) emissions to fertilizer nitrogen

Publisher

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1322434111

Keywords

fertilizer response; greenhouse gas emissions; agriculture; bioenergy; greenhouse gas mitigation

Funding

  1. US National Science Foundation Long-Term Ecological Research [DEB 1027253]
  2. Doctoral Dissertation Improvement [DEB 1110683]
  3. US Department of Energy Office of Science [DE-FCO2-07ER64494]
  4. Office of Energy Efficiency and Renewable Energy [DE-ACO5-76RL01830]
  5. Electric Power Research Institute
  6. Michigan State University AgBioResearch
  7. Division Of Environmental Biology
  8. Direct For Biological Sciences [1027253] Funding Source: National Science Foundation

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Nitrous oxide (N2O) is a potent greenhouse gas (GHG) that also depletes stratospheric ozone. Nitrogen (N) fertilizer rate is the best single predictor of N2O emissions from agricultural soils, which are responsible for similar to 50% of the total global anthropogenic flux, but it is a relatively imprecise estimator. Accumulating evidence suggests that the emission response to increasing N input is exponential rather than linear, as assumed by Intergovernmental Panel on Climate Change methodologies. We performed a metaanalysis to test the generalizability of this pattern. From 78 published studies (233 site-years) with at least three N-input levels, we calculated N2O emission factors (EFs) for each nonzero input level as a percentage of N input converted to N2O emissions. We found that the N2O response to N inputs grew significantly faster than linear for synthetic fertilizers and for most crop types. N-fixing crops had a higher rate of change in EF (Delta EF) than others. A higher.EF was also evident in soils with carbon > 1.5% and soils with pH < 7, and where fertilizer was applied only once annually. Our results suggest a general trend of exponentially increasing N2O emissions as N inputs increase to exceed crop needs. Use of this knowledge in GHG inventories should improve assessments of fertilizer-derived N2O emissions, help address disparities in the global N2O budget, and refine the accuracy of N2O mitigation protocols. In low-input systems typical of sub-Saharan Africa, for example, modest N additions will have little impact on estimated N2O emissions, whereas equivalent additions (or reductions) in excessively fertilized systems will have a disproportionately major impact.

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